Classification Generalization

Classification Generalization is a methodological framework within map generalization that enables the systematic categorization of spatial features based on shared semantic and geometric attributes, thereby supporting hierarchical simplification and multi-scale representation of geographic information.

76

Publications

3.9K

Citations

301

Authors

142

Institutions

Publications per year

2017–2026

39

Authors

301

  1. JE
    John E. Hopcroft

    Cornell University, United States

    3 publications · 148 citations

    3

    h-index

  2. KH
    Kun He

    Huazhong University of Science and Technology, China

    3 publications · 148 citations

    3

    h-index

  3. LW
    Liwei Wang

    Peking University, China

    3 publications · 148 citations

    3

    h-index

  4. AY
    Andrew Y. Ng

    Stanford University, United States

    2 publications · 40 citations

    2

    h-index

  5. JI
    Jeremy Irvin

    Stanford University, United States

    2 publications · 40 citations

    2

    h-index

1–5 of 301

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 480 citations

    10

    h-index

  2. IEEE Access

    2 publications · 63 citations

    2

    h-index

  3. 2

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 2 publications · 86 citations

    2

    h-index

  5. 2

    h-index

1–5